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digiKam project preview
ProductivityAlternative to Apple PhotosAlternative to ACDSeeAlternative to Adobe Lightroom

digiKam

Professional open-source photo management and facial recognition catalog.

View on GitHub Visit website
LicenseGPL-2.0
GitHub stars3.4k
Last commit1 weeks ago
Tags6 topics
GeotaggingFacial RecognitionRaw ProcessingPhoto ManagementPhotographyCpp
Overview

Why consider digiKam?

digiKam is an open-source digital photo management application. It organizes tens of thousands of images with AI facial recognition, geolocation tagging, and RAW batch processing.

Guided learning

Learn digiKam by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of digiKam

digiKam is designed for professional photographers to curate, search, and edit massive digital photo libraries using embedded SQLite or MySQL/PostgreSQL databases.

Installation

bash
1# Ubuntu/Debian
2sudo apt install digikam
3
4# macOS via Homebrew
5brew install --cask digikam

digiKam is licensed under the GNU General Public License v2.0 (GPL-2.0).

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digiKam FAQs

digiKam is listed as a Productivity tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

digiKam is listed under the GPL-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

digiKam is listed as an alternative to Apple Photos. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.